MLBDBI 2019

Welcome Dr. Yusen He from University of Iowa, USA to be committee member!

Research Scientist Dr. Yusen He, Department of Industrial and System Engineering, University of Iowa, USA

Research Area:

Publications:

He, Y., & Kusiak, A. (2017). Performance assessment of wind turbines: data-derived quantitative metrics. IEEE Transactions on Sustainable Energy, 9(1), 65-73.

He, Y., Kusiak, A., Ouyang, T. and Teng, W., 2017. Data-driven modeling of truck engine exhaust valve failures: A case study. Journal of Mechanical Science and Technology, 31(6), pp.2747-2757.

Li, H., Xu, Q., He, Y. and Deng, J., 2018. Prediction of landslide displacement with an ensemble-based extreme learning machine and copula models. Landslides, 15(10), pp.2047-2059.

Ouyang, T., Kusiak, A., & He, Y. (2017). Modeling wind-turbine power curve: A data partitioning and mining approach. Renewable Energy, 102, 1-8.

Ouyang, T., Kusiak, A. and He, Y., 2017. Predictive model of yaw error in a wind turbine. Energy, 123, pp.119-130.

Ouyang, T., He, Y., Li, H., Sun, Z., & Baek, S. (2019). Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network. IEEE Transactions on Emerging Topics in Computational Intelligence, 3(2), 127-136.

Ouyang, T., He, Y. and Huang, H., 2018. Monitoring Wind Turbines' Unhealthy Status: A Data-Driven Approach. IEEE Transactions on Emerging Topics in Computational Intelligence, 3(2), pp.163-172.

Personal Website: https://scholar.google.com/citations?user=E9HTrjwAAAAJ&hl=en